Multi-Objective Clustering and Cluster Validation

descriptionPublicationkeyboard_double_arrow_right Part of book or chapter of book , Other literature type 25 Jan 2006 United Kingdom Publisher:Springer Science and Business Media LLC

Authors: Handl, Julia; id_orcid 0000-0002-4338-1806; Knowles, Joshua;

doi: 10.1007/11399346_2 , 10.1007/3-540-33019-4_2

Multi-Objective Clustering and Cluster Validation

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Abstract

This chapter is concerned with unsupervised classification, that is, the analysis of data sets for which no (or very little) training data is available. The main goals in this data-driven type of analysis are the discovery of a data set's underlying structure, and the identi.cation of groups (or clusters) of homogeneous data items - a process commonly referred to as cluster analysis. © 2006 Springer-Verlag Berlin Heidelberg.

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